 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q8K2V1 from www.uniprot.org...
The NucPred score for your sequence is 0.61 (see score help below)
1 MADLSLLQEDLPEDADGLDVDDYSSESDVIIIPSALDFVSQDEMLTPLGR 50
51 LDKYAASENVFNRQMVARSLLDTLREVCDDERDCIAVLERISRLADDSEP 100
101 TVRAELMEQVPHIALFCQENRPSIPYAFSKYLLPIVVRYLADQNNQVRKT 150
151 SQAALLALLEQELIERFDVETKVCPVLIDLTAPDSNDDVKTEAVAIMCKM 200
201 APMVGKDITERLILPRFCEMCCDCRMFHVRKVCAANFGDICSVVGQQATE 250
251 EMLLPRFFQLCSDNVWGVRKACAECFMAVSCATCQEIRRTKLSALFINLI 300
301 SDPSRWVRQAAFQSLGPFISTFANPSSSGQCFKDESKSSEDSSAEDKDRM 350
351 RDNDVVEEEHRRPEDAPSDLSAPHSSARLESLEGCAAKTPGHSAGDVPAP 400
401 VDSSLLCTLSSESPQEAASNDENGRKPDTNSKSASRPDAGTSSPEATPLD 450
451 QDMFNSFHFWRTPLPKIDLDKELQQDPEERLSPERTGDVPAAPLPGPPNI 500
501 TMATRKELEEMIENLEPHMDDPDVKAQVDVLSAALRASSLDAHEETGGVE 550
551 QRSELQDEVCVSELPDCNISHDTCVPLISAAEENAEATPDYVHGGADVSP 600
601 GDGFSPDEDRRPKVQDVVPQALLDQYLSMTDPSRAQTVDTEIAKHCAYSL 650
651 PGVALTLGRQNWHCLRETYETLASDMQWKVRRTLAFSIHELAVILGDQLT 700
701 AADLVPIFNGFLKDLDEVRIGVLKHLHDFLKLLHIDKRREYLYQLQEFLV 750
751 TDNSRNWRFRAELAEQLILLLELYSPRDVYDYLRPIALNLCADKVSSVRW 800
801 ISYKLVSEMVKKLHTATPPTFGVDLINELVENFGRCPKWSGRQAFVFVCQ 850
851 TVIEDDCLPMDQFAVHLMPHLLTLANDRVPNVRVLLAKTLRQTLLEKEYF 900
901 LASASCHQEAVEQTIMALQMDRDSDVKYFASIHPSSTKLSEDAMSTASST 950
951 Y 951
Positively and negatively influencing subsequences are coloured according to the following scale:
(non-nuclear) negative ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| positive (nuclear)
What does the NucPred score mean?
| You have to decide on a NucPred score threshold. Sequences which score greater than or equal to this threshold are predicted to spend some time in the nucleus. Higher thresholds yield fewer predicted nuclear proteins, but these predictions are more accurate (you can have higher confidence in them). The table below gives more details of the performance of NucPred estimated using the sequences it was trained on (by cross-validation). Another benchmark is available in the Bioinformatics 2007 paper. |
| NucPred score threshold | Specificity | Sensitivity |
| see above | fraction of proteins predicted to be nuclear that actually are nuclear | fraction of true nuclear proteins that are predicted (coverage) |
| 0.10 | 0.45 | 0.88 |
| 0.20 | 0.52 | 0.83 |
| 0.30 | 0.57 | 0.77 |
| 0.40 | 0.63 | 0.69 |
| 0.50 | 0.70 | 0.62 |
| 0.60 | 0.71 | 0.53 |
| 0.70 | 0.81 | 0.44 |
| 0.80 | 0.84 | 0.32 |
| 0.90 | 0.88 | 0.21 |
| 1.00 | 1.00 | 0.02 |
| Sequences which score >= 0.8 with NucPred and which
are predicted by PredictNLS to contain an NLS have been shown to be 93% correct with a coverage of 16%. (PredictNLS by itself is 87% correct with 26% coverage on the same data.) |
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